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Cocktailer: Analyzing and Optimizing Dynamic Control Flow in Deep Learning.

C. Zhang, L. Ma, J. Xue, Y. Shi, Z. Miao, F. Yang, J. Zhai, Z. Yang, и M. Yang. OSDI, стр. 681-699. USENIX Association, (2023)

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Xue Xue Zhang

Cheng Xue

Jia Xue

Min Xue

Yida Xue

Другие публикации лиц с тем же именем

Seraph: an efficient, low-cost system for concurrent graph processing.J. Xue, Z. Yang, Z. Qu, S. Hou, и Y. Dai. HPDC, стр. 227-238. ACM, (2014)Towards Efficient Large-Scale Graph Neural Network Computing.L. Ma, Z. Yang, Y. Miao, J. Xue, M. Wu, L. Zhou, и Y. Dai. CoRR, (2018)RPC Considered Harmful: Fast Distributed Deep Learning on RDMA.J. Xue, Y. Miao, C. Chen, M. Wu, L. Zhang, и L. Zhou. CoRR, (2018)Tux2: Distributed Graph Computation for Machine Learning.W. Xiao, J. Xue, Y. Miao, Z. Li, C. Chen, M. Wu, W. Li, и L. Zhou. NSDI, стр. 669-682. USENIX Association, (2017)Garaph: Efficient GPU-accelerated Graph Processing on a Single Machine with Balanced Replication.L. Ma, Z. Yang, H. Chen, J. Xue, и Y. Dai. USENIX ATC, стр. 195-207. USENIX Association, (2017)Efficient GPU Kernels for N: M-Sparse Weights in Deep Learning.B. Lin, N. Zheng, L. Wang, S. Cao, L. Ma, Q. Zhang, Y. Zhu, T. Cao, J. Xue, Y. Yang и 1 other автор(ы). MLSys, mlsys.org, (2023)Unfolding dynamics in a social network: co-evolution oflink formation and user interaction.Z. Yang, J. Xue, H. Zhao, X. Wang, B. Zhao, и Y. Dai. WWW (Companion Volume), стр. 67-68. International World Wide Web Conferences Steering Committee / ACM, (2013)Process-driven Analysis of Dynamics in Online Social Interactions.Z. Yang, J. Xue, C. Wilson, B. Zhao, и Y. Dai. COSN, стр. 139-149. ACM, (2015)Optimizing Dynamic Neural Networks with Brainstorm.W. Cui, Z. Han, L. Ouyang, Y. Wang, N. Zheng, L. Ma, Y. Yang, F. Yang, J. Xue, L. Qiu и 4 other автор(ы). OSDI, стр. 797-815. USENIX Association, (2023)Welder: Scheduling Deep Learning Memory Access via Tile-graph.Y. Shi, Z. Yang, J. Xue, L. Ma, Y. Xia, Z. Miao, Y. Guo, F. Yang, и L. Zhou. OSDI, стр. 701-718. USENIX Association, (2023)

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